Comments (1)
Hey Chieh, if you provide images with shoulders for training it should be enough, however, the method was not designed to handle shoulders. To get those images, you just need to change the segmentation map generation. Here are the parts https://github.com/Zielon/INSTA/blob/master/scripts/patches/face-parsing#L55. You need to change the code https://github.com/Zielon/INSTA/blob/master/scripts/generate.sh in the corresponding modules.
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Related Issues (20)
- Great project! I have a question. I'm a novice HOT 1
- A800 havnot DLSS
- Where is the final MP4 video saved? HOT 1
- When I run the second step, the program keeps running and cannot be stopped. HOT 2
- Reenactment failure: the number of faces (8090) of provided canonical.obj is not equal to that of mesh (9766) from Metrical Photometric Tracker HOT 1
- How to cut the neck in half? HOT 1
- inference speed HOT 1
- Could you provide the 3DMM shape coefficient `identity.npy` of each dataset? HOT 1
- Controlling expressions via FLAME HOT 1
- cmake build's error HOT 5
- Bad Results HOT 7
- Expression transfer HOT 1
- About test sequences HOT 2
- Could you please release the test dataset with the same neck as train dataset HOT 3
- Accessible of Girls Datasets in your paper? HOT 1
- Accessible of the same format dataset of "yufeng"? HOT 1
- Why only first 16 expression is used? HOT 1
- Build cmake
- Can't set params because CPU buffer has the wrong size
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